Rigid frame continuous beam bridge construction monitoring method based on digital twinning

Abstract

The invention discloses a rigid frame continuous beam bridge construction monitoring method based on digital twinning. The rigid frame continuous beam bridge construction monitoring method comprises the steps that S1, a construction simulation model of a continuous beam bridge is established; s2, establishing a construction site three-dimensional environment model; s3, fusing the three-dimensional environment model and the construction simulation model to obtain a construction dynamic virtual model; s4, establishing a continuous beam bridge construction structure analysis and calculation model; s5, training the continuous beam bridge construction structure analysis and calculation model by using the construction structure information obtained in real time to obtain a prediction model; s6, acquiring three-dimensional point cloud data of the continuous beam bridge in real time, and establishing a three-dimensional point cloud model; s7, fusing the prediction model, the three-dimensional point cloud model and the construction dynamic virtual model to obtain a continuous beam bridge digital twinborn model; and S8, according to the digital twin model of the continuous beam bridge, checking construction monitoring data in real time, and realizing construction monitoring operation of the continuous beam bridge. According to the rigid frame continuous beam bridge construction monitoring method based on digital twinning, the construction quality can be improved, and the construction safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge construction, and more specifically to a method for monitoring the construction of a rigid frame continuous beam bridge based on digital twins. Background Art

[0002] With the continuous development of the national economy and the continuous progress of society, the country has attached more and more importance to the construction of infrastructure, and more and more bridge engineering projects have put forward higher requirements for construction monitoring. At present, bridge construction monitoring generally uses BIM technology to build a virtual model of the structure to manage various types of information, but it mainly focuses on information management rather than information application, which easily leads to the isolation of design information and construction monitoring information; monitoring information is incomplete and inaccurate, and the omission of wrong information and value information makes the construction evaluation results unreliable, which makes the next construction decision wrong, which not only leads to poor construction accuracy, but also threatens the personal safety of construction workers.

[0003] In order to solve the above problems, it is necessary to provide a rigid frame continuous beam bridge construction monitoring method based on digital twins to monitor the construction process, improve construction quality and ensure construction safety. Summary of the invention

[0004] Another object of the present invention is to provide a rigid frame continuous beam bridge construction monitoring method based on digital twins to improve construction quality and ensure construction safety.

[0005] In order to achieve these purposes and other advantages according to the present invention, a method for monitoring construction of a rigid frame continuous beam bridge based on digital twin is provided, comprising: S1. Establish a construction simulation model of a continuous beam bridge according to the design drawings of the continuous beam bridge; S2. Establish a three-dimensional environmental model of the continuous beam bridge construction site; S3, integrating the three-dimensional environment model and the construction simulation model to obtain a dynamic virtual model of the continuous beam bridge construction; S4. Collect the construction structure information of the same type of continuous beam bridges in historical continuous beam bridge construction projects, and establish a continuous beam bridge construction structure analysis and calculation model; S5. Acquire the construction structure information of the continuous beam bridge in real time, and use the construction structure information acquired in real time to train the continuous beam bridge construction structure analysis and calculation model to obtain a prediction model; S6. Acquire the three-dimensional point cloud data of the continuous beam bridge in real time and establish a three-dimensional point cloud model; S7, the prediction model, the 3D point cloud model and the construction dynamic virtual model are integrated to obtain the digital twin model of the continuous beam bridge; S8. Based on the digital twin model of the continuous beam bridge, the construction monitoring data can be viewed in real time to realize the construction monitoring operation of the continuous beam bridge.

[0006] Preferably, step S1 specifically includes: S11. Obtain the construction design drawings of the continuous beam bridge, and establish a BIM model of the continuous beam bridge according to the design drawings; S12. Based on the BIM model, the finite element simulation software is used to simulate the construction of the continuous beam bridge to obtain a construction simulation model.

[0007] Preferably, the construction structure information of the continuous beam bridge includes: structural stress information, structural internal force information, temperature characteristic information and geographical location information, and the construction structure information is obtained through sensors embedded in the continuous beam bridge components.

[0008] Preferably, step S6 specifically includes: S61, based on the construction physical space information, geographical location information, and physical space information of structures around the construction site of the continuous beam bridge, a calibration target is arranged at the construction site, and a first point cloud model of the continuous beam bridge is obtained from a first perspective and a second point cloud model of the continuous beam bridge is obtained from a second perspective using a three-dimensional laser scanner with the calibration target as a scanning reference point; S62, registering the first point cloud model with the second point cloud model to obtain a three-dimensional point cloud model.

[0009] Preferably, step S62 specifically includes: S621, filtering and denoising the first point cloud model and the second point cloud model; S622, taking the origin of the BIM model as the reference origin and the plane coordinates of the BIM model as the reference coordinate system, extracting the coordinates of each point on one side line of the continuous beam bridge in the BIM model, and performing linear regression fitting on them to obtain the regression equation L1, and obtaining the slope of the regression equation L1 and the coefficient of determination ; S623, extract the point cloud data of the first point cloud model and the second point cloud model located at the edge parts on both sides, perform linear regression fitting on them respectively, and obtain the regression equation L of the first point cloud model 21 and L 22 , the regression equation L of the second point cloud model 31 and L 32 , respectively obtain the regression equation L 21 , L 22 , L 31 and L 32 The slope , , , And the coefficient of determination , , , ; S624, Comparison and , take the regression equation L corresponding to the maximum determination coefficient 2i As the standard regression equation of the first point cloud model; contrast and , take the regression equation L corresponding to the maximum determination coefficient 3i As the standard regression equation of the second point cloud model, L 2i and L 3i The point cloud model corresponding to the standard regression equation with the smallest difference with the L1 slope is taken as the target point cloud model, and the other point cloud model is the point cloud model to be registered; S625. Extract the center coordinates of the calibration target in the first point cloud model, recorded as the first center coordinates, and extract the center coordinates of the calibration target in the second point cloud model, recorded as the second center coordinates; based on the first center coordinates and the second center coordinates, use the center coordinates of the target point cloud model as the alignment reference, and use a three-dimensional point cloud alignment algorithm to align the first point cloud model with the second point cloud model to obtain a three-dimensional point cloud model.

[0010] Preferably, in step S61, the layout position of the calibration target is the position of the construction site corresponding to the origin of the BIM model.

[0011] The present invention includes at least the following beneficial effects: the present invention first establishes a construction dynamic virtual model based on a three-dimensional environmental model, then establishes a prediction model according to the real-time construction structure information of the continuous beam bridge, and establishes a three-dimensional point cloud model according to the three-dimensional point cloud data. Based on the digital twin technology, the prediction model, the three-dimensional point cloud model and the construction dynamic model are integrated to obtain a digital twin model. Through the digital twin model, the synchronization of the physical world and the virtual world is achieved, and the simulation and analysis capabilities of the construction process are enhanced. During the construction process, by selecting corresponding bridge components in the digital twin model, the on-site construction data and changing trends are obtained in real time, and the comprehensive perception, real analysis and real-time control of the construction quality and safety information of the continuous beam bridge are achieved, which is convenient for management personnel to judge the construction quality and safety, perceive and prevent possible problems in construction in advance, and ensure construction quality and construction safety.

[0012] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. DETAILED DESCRIPTION

[0013] The present invention is described in further detail below so that those skilled in the art can implement it according to the description.

[0014] It should be noted that, in the description of the present invention, terms such as "lateral", "longitudinal", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" to indicate directions or positional relationships are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention.

[0015] The present invention provides a construction monitoring method for a rigid frame continuous beam bridge based on digital twins, which is applied to the newly built Hefei-Wuhan high-speed railway Hubei section HWZQ-5 section on the main line across the Han-Shi Expressway and the ramp (52+92+80+86+52)m rigid frame continuous beam engineering project, specifically including the following steps: S1. Establish a construction simulation model of a continuous beam bridge according to the design drawings of the continuous beam bridge, which specifically includes: S11. Obtain the construction design drawings of the continuous beam bridge, and establish a BIM model of the continuous beam bridge according to the design drawings; S12. Based on the BIM model, the finite element simulation software is used to simulate the construction of the continuous beam bridge to obtain a construction simulation model; S2. Establish a three-dimensional environmental model of the continuous beam bridge construction site; Specifically, the geographical environment data of the construction site is collected by drones, and after being summarized, analyzed and compared with the design drawings by project managers, a three-dimensional environmental model is established; S3, integrating the three-dimensional environment model and the construction simulation model to obtain a dynamic virtual model of the continuous beam bridge construction; The integration of the construction simulation model and the 3D environment model makes the dynamic construction virtual model closer to the actual situation of the construction site, providing a basis for the subsequent use of the digital twin model to ensure the accuracy of construction monitoring operations; S4. Collect the construction structure information of the same type of continuous beam bridges in historical continuous beam bridge construction projects, and establish a continuous beam bridge construction structure analysis and calculation model; S5. Acquire the construction structure information of the continuous beam bridge in real time, and use the construction structure information acquired in real time to train the continuous beam bridge construction structure analysis and calculation model to obtain a prediction model; S6. Acquire the three-dimensional point cloud data of the continuous beam bridge in real time and establish a three-dimensional point cloud model; S7. Establish a unified data transmission interface and general protocol, use the open source digital twin model scene engine, match and fuse the prediction model, three-dimensional point cloud model and construction dynamic virtual model to obtain the digital twin model of the continuous beam bridge; S8. Based on the digital twin model of the continuous beam bridge, the construction monitoring data is checked in real time to realize the construction monitoring operation of the continuous beam bridge; Specifically: Construction monitoring operations include monitoring of construction quality and monitoring of construction safety. The digital twin model is obtained by integrating the prediction model, the three-dimensional point cloud model and the construction dynamic model. The digital twin model can be used to view the structural information, position status and other data of the continuous beam bridge construction in real time, thereby providing precise control for the information monitoring and construction decision-making of the continuous beam in all aspects, improving the accuracy and timeliness of construction, and ensuring the construction quality; for construction safety monitoring, construction safety risk assessment indicator data can be preset based on construction specifications and standards, and risk level assessment can be performed through the safety risk assessment indicator data according to the viewed construction monitoring data to obtain construction risk data, and safety risk warning processing can be performed based on the construction risk data, so as to facilitate on-site management personnel to make adaptive adjustments to the construction plan in a timely manner to ensure construction safety.

[0016] In the above technical scheme, the present invention first establishes a construction dynamic virtual model based on the three-dimensional environmental model, then establishes a prediction model according to the real-time construction structure information of the continuous beam bridge, and establishes a three-dimensional point cloud model according to the three-dimensional point cloud data. Based on the digital twin technology, the prediction model, the three-dimensional point cloud model and the construction dynamic model are integrated to obtain a digital twin model. Through the digital twin model, the synchronization of the physical world and the virtual world is achieved, and the simulation and analysis capabilities of the construction process are enhanced. During the construction process, by selecting the corresponding bridge components in the digital twin model, the on-site construction data and changing trends are obtained in real time, and the comprehensive perception, real analysis and real-time control of the construction quality and safety information of the continuous beam bridge are achieved, which is convenient for management personnel to judge the construction quality and safety, perceive and prevent possible problems in construction in advance, and ensure construction quality and construction safety.

[0017] In another technical solution, the construction structure information of the continuous beam bridge includes: structural stress information, structural internal force information, temperature characteristic information and geographical location information, and the construction structure information is obtained through sensors embedded in the continuous beam bridge components.

[0018] In this technical solution, structural stress, structural internal force, temperature data, and geographic location information are linked to construction monitoring operations in real time to take into account the influencing factors of construction stress, internal force, temperature, etc. on construction quality and safety, thereby further improving the comprehensiveness of the monitoring data and greatly improving the accuracy of the monitoring data. As a result, the digital twin model can provide comprehensive and accurate construction status information, effectively reducing construction safety risks and improving construction quality. In another technical solution, step S6 specifically includes: S61, based on the construction physical space information, geographical location information, and physical space information of structures around the construction site of the continuous beam bridge, a calibration target is arranged at the construction site, and a first point cloud model of the continuous beam bridge is obtained from a first perspective and a second point cloud model of the continuous beam bridge is obtained from a second perspective using a three-dimensional laser scanner with the calibration target as a scanning reference point; S62, registering the first point cloud model with the second point cloud model to obtain a three-dimensional point cloud model.

[0019] In this technical solution, by acquiring multiple point cloud models of the continuous beam bridge from different perspectives, the comprehensiveness of the acquired point cloud data can be guaranteed. Then, by aligning the multiple point cloud models, the integrity of the established three-dimensional point cloud model can be guaranteed to ensure the accuracy of subsequent monitoring data.

[0020] In another technical solution, step S62 specifically includes: S621, filtering and denoising the first point cloud model and the second point cloud model; S622, taking the origin of the BIM model as the reference origin and the plane coordinates of the BIM model as the reference coordinate system, extracting the coordinates of each point on one side line of the continuous beam bridge in the BIM model, and performing linear regression fitting on them to obtain the regression equation L1, and obtaining the slope of the regression equation L1 and the coefficient of determination ; S623, extract the point cloud data of the first point cloud model and the second point cloud model located at the edge parts on both sides, perform linear regression fitting on them respectively, and obtain the regression equation L of the first point cloud model 21 and L 22 , the regression equation L of the second point cloud model 31 and L 32 , respectively obtain the regression equation L 21 , L 22 , L 31 and L 32 The slope , , , And the coefficient of determination , , , ; S624, Comparison and , take the regression equation L corresponding to the maximum determination coefficient 2i As the standard regression equation of the first point cloud model; contrast and , take the regression equation L corresponding to the maximum determination coefficient 3i As the standard regression equation of the second point cloud model, L2i and L 3i The point cloud model corresponding to the standard regression equation with the smallest difference with the L1 slope is taken as the target point cloud model, and the other point cloud model is the point cloud model to be registered; S625. Extract the center coordinates of the calibration target in the first point cloud model, recorded as the first center coordinates, and extract the center coordinates of the calibration target in the second point cloud model, recorded as the second center coordinates; based on the first center coordinates and the second center coordinates, use the center coordinates of the target point cloud model as the alignment reference, and use a three-dimensional point cloud alignment algorithm to align the first point cloud model with the second point cloud model to obtain a three-dimensional point cloud model.

[0021] In the present technical solution, the bridge edge line refers to the edge line on both sides of the bridge, which is also used to control the line shape of the bridge to a certain extent. The bridge edge line is very important in bridge design, and the bridge edge line needs to be strictly controlled during the construction process. When the point cloud model is obtained by a 3D laser scanner, the edge point cloud will be incomplete. If the point cloud model with serious edge point cloud missing is used as the target point cloud model, the registration accuracy will be affected. Therefore, before the point cloud model is registered, the present invention first performs regression line fitting on the point cloud data of the first point cloud model and the second point cloud model located at the edge parts on both sides. Since the edge lines on both sides of the bridge are the same, after the fitting is completed, the two regression lines obtained by fitting the same point cloud model are compared, and the regression line with better fitting effect is first selected as the subsequent point cloud model and BIM model. The regression line of the first point cloud model and the regression line of the second point cloud model after screening are compared with the slope of the BIM model regression line, and the point cloud model whose edge point cloud data change trend is closer to the BIM model is further screened out, so as to obtain a point cloud model with a more complete edge point cloud and a change trend closer to the BIM model as the target point cloud model. The point cloud data of the target point cloud model is more complete and the acquired edge point cloud data is closer to the design line type. The target point cloud model is used as the alignment reference, which ensures the alignment accuracy on the one hand, and the availability and reliability of the three-dimensional point cloud model after alignment on the other hand. The point cloud model is aligned by this method to ensure the consistency of the three-dimensional point cloud model and the BIM model, which is also convenient for the subsequent fusion of the construction dynamic model and the three-dimensional point cloud model.

[0022] In another technical solution, in step S61, the layout position of the calibration target is the position of the construction site corresponding to the origin of the BIM model.

[0023] In this technical solution, a calibration target is arranged at a position corresponding to the origin of the BIM model at the construction site, which can further ensure the consistency between the three-dimensional point cloud model and the BIM model.

[0024] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes. They can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to specific details.

Claims

1. A construction monitoring method for rigid frame continuous beam bridge based on digital twin, characterized in that: include: S1. Establish a construction simulation model of a continuous beam bridge according to the design drawings of the continuous beam bridge; S2. Establish a three-dimensional environmental model of the continuous beam bridge construction site; S3, integrating the three-dimensional environment model and the construction simulation model to obtain a dynamic virtual model of the continuous beam bridge construction; S4. Collect the construction structure information of the same type of continuous beam bridges in historical continuous beam bridge construction projects, and establish a continuous beam bridge construction structure analysis and calculation model; S5. Acquire the construction structure information of the continuous beam bridge in real time, and use the construction structure information acquired in real time to train the continuous beam bridge construction structure analysis and calculation model to obtain a prediction model; S6. Acquire the three-dimensional point cloud data of the continuous beam bridge in real time and establish a three-dimensional point cloud model; S7, the prediction model, the 3D point cloud model and the construction dynamic virtual model are integrated to obtain the digital twin model of the continuous beam bridge; S8. Based on the digital twin model of the continuous beam bridge, the construction monitoring data can be viewed in real time to realize the construction monitoring operation of the continuous beam bridge.

2. The method for monitoring construction of a rigid frame continuous beam bridge based on digital twins according to claim 1, characterized in that: Step S1 specifically includes: S11. Obtain the construction design drawings of the continuous beam bridge, and establish a BIM model of the continuous beam bridge according to the design drawings; S12. Based on the BIM model, the finite element simulation software is used to simulate the construction of the continuous beam bridge to obtain a construction simulation model.

3. The method for monitoring construction of a rigid frame continuous beam bridge based on digital twins according to claim 1, characterized in that: The construction structure information of the continuous beam bridge includes: structural stress information, structural internal force information, temperature characteristic information and geographical location information. The construction structure information is obtained through sensors pre-buried inside the continuous beam bridge components.

4. The method for monitoring construction of a rigid frame continuous beam bridge based on digital twins according to claim 3, characterized in that: Step S6 specifically includes: S61, based on the construction physical space information, geographical location information, and physical space information of structures around the construction site of the continuous beam bridge, a calibration target is arranged at the construction site, and a first point cloud model of the continuous beam bridge is obtained from a first perspective and a second point cloud model of the continuous beam bridge is obtained from a second perspective using a three-dimensional laser scanner with the calibration target as a scanning reference point; S62, registering the first point cloud model with the second point cloud model to obtain a three-dimensional point cloud model.

5. The method for monitoring construction of a rigid frame continuous beam bridge based on digital twins according to claim 4, characterized in that: Step S62 specifically includes: S621, filtering and denoising the first point cloud model and the second point cloud model; S622, taking the origin of the BIM model as the reference origin and the plane coordinates of the BIM model as the reference coordinate system, extracting the coordinates of each point on one side line of the continuous beam bridge in the BIM model, and performing linear regression fitting on them to obtain the regression equation L1, and obtaining the slope of the regression equation L1 and the coefficient of determination ; S623, extract the point cloud data of the first point cloud model and the second point cloud model located at the edge parts on both sides, perform linear regression fitting on them respectively, and obtain the regression equation L of the first point cloud model 21 and L 22 , the regression equation L of the second point cloud model 31 and L 32 , respectively obtain the regression equation L 21 , L 22 , L 31 and L 32 The slope , , , And the coefficient of determination , , , ; S624, Comparison and , take the regression equation L corresponding to the maximum determination coefficient 2i As the standard regression equation of the first point cloud model; contrast and , take the regression equation L corresponding to the maximum determination coefficient 3i As the standard regression equation of the second point cloud model, L 2i and L 3i The point cloud model corresponding to the standard regression equation with the smallest difference with the L1 slope is taken as the target point cloud model, and the other point cloud model is the point cloud model to be registered; S625. Extract the center coordinates of the calibration target in the first point cloud model, recorded as the first center coordinates, and extract the center coordinates of the calibration target in the second point cloud model, recorded as the second center coordinates; based on the first center coordinates and the second center coordinates, use the center coordinates of the target point cloud model as the alignment reference, and use a three-dimensional point cloud alignment algorithm to align the first point cloud model with the second point cloud model to obtain a three-dimensional point cloud model.

6. The method for monitoring construction of a rigid frame continuous beam bridge based on digital twins according to claim 5, characterized in that: In step S61, the layout position of the calibration target is the position of the construction site corresponding to the origin of the BIM model.